Log In Sign Up

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation

by   Nitin Agrawal, et al.

Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to preserve privacy whilst also obtaining the benefits of computational analysis. Due to their relative novelty, complexity, and opacity, these technologies provoke a variety of novel questions for design and governance. We interviewed researchers, developers, industry leaders, policymakers, and designers involved in their deployment to explore motivations, expectations, perceived opportunities and barriers to adoption. This provided insight into several pertinent challenges facing the adoption of these technologies, including: how they might make a nebulous concept like privacy computationally tractable; how to make them more usable by developers; and how they could be explained and made accountable to stakeholders and wider society. We conclude with implications for the development, deployment, and responsible governance of these privacy-preserving computation techniques.


page 1

page 2

page 3

page 4


Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions

Increasing incidents of security compromises and privacy leakage have ra...

SecureABC: Secure AntiBody Certificates for COVID-19

COVID-19 has resulted in unprecedented social distancing policies being ...

Building and Maintaining a Third-Party Library Supply Chain for Productive and Secure SGX Enclave Development

The big data industry is facing new challenges as concerns about privacy...

Embedding Privacy Into Design Through Software Developers: Challenges Solutions

To make privacy a first-class citizen in software, we argue for equippin...

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies

There is a growing need for spatial privacy considerations in the many g...

Compressive analysis and the Future of Privacy

Compressive analysis is the name given to the family of techniques that ...